Student Researcher- Electrical And Computer Engineering Ushe

Utah Valley University is seeking a student to assist the Engineering department. Student researcher will be in the Electrical and Computer Engineering program (preferably Computer Engineering) of the Engineering Department through funding from Utah System of Higher Education (USHE), Deep Technology Talent Initiative.

Will work directly with Dr. Mohammad Shekaramiz from the Engineering Department on drone-based online condition monitoring, fault diagnosis, and reliability prediction of wind turbine blades using artificial intelligence. Looking for highly motived students who are willing to learn and boost their knowledge. Maximum of 10 hours per week.

Research in area of automated drone-based system with artificial intelligence training:

• Online condition monitoring

• Fault diagnosis

• Reliability prediction of wind turbine blades

• Student enrolled at UVU in the Engineering Department

• Must have a great interest in signal and image processing, coding, software development, machine learning and artificial intelligence (AI).

Knowledge of:

• Artificial intelligence (AI)

• Signal and image processing

• Supervised and unsupervised machine learning algorithms, feature extraction, classification methods, etc.

• Rigorous experience in Python, C++, and MATLAB

• Wind power generations

• Software development

• Path planning and control of drones

Skills and Abilities:

• Deep learning and big data

• Good understanding of probability and probabilistic modeling

• Hands-on experience with the use of sensors and data acquisition

• Good grasp of the fundamentals of Electrical and Computer Engineering